Evidence map›Paper›PMID 40399966›Full record

ArticleBMC medical education2025

Application and effectiveness of blended learning in medical imaging via the technology acceptance model.

Xiaofen Sun, Jianghua Wan, Zhiqun Li, Rong Tu, Juan Lin, Xiaohua Li, Jianqiang Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Trial
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xiaofen Sun *Department of Radiology, the First Clinical College, the First Affiliated Hospital, Hainan Medical University, Haikou, China.
Jianghua Wan *UWE College of Hainan Medical University, Haikou, China.
Zhiqun LiDepartment of Radiology, the First Clinical College, the First Affiliated Hospital, Hainan Medical University, Haikou, China.
Rong TuDepartment of Radiology, the First Clinical College, the First Affiliated Hospital, Hainan Medical University, Haikou, China.
Juan LinDepartment of Radiology, the First Clinical College, the First Affiliated Hospital, Hainan Medical University, Haikou, China.
Xiaohua LiDepartment of Radiology, the First Clinical College, the First Affiliated Hospital, Hainan Medical University, Haikou, China.
Jianqiang ChenDepartment of Radiology, the First Clinical College, the First Affiliated Hospital, Hainan Medical University, Haikou, China. hnchenjq@163.com.

Funding

Hainan Medical University HYYB202230, HYYB202380, HYKCPY202307, RZ2300005679Hainan Provincial Department of Health 22A200069the Education Department of Hainan Province Hnjg2024ZC-70, Hnjgzc2023-20
6 · The paper itself

Abstract

Blended learning, which integrates online education with face-to-face instruction, is becoming an increasingly vital component of higher education. While there is an extensive research on blended learning, studies specifically examining student perceptions in the field of medical imaging are limited. This study investigates the satisfaction and behavioral intentions of students enrolled in a blended "Medical Imaging" course at Hainan Medical University. We employed a quantitative research approach, using a modified Technology Acceptance Model (TAM) questionnaire to fit the specific context of blended learning. Data were collected from 145 valid responses and analyzed using SPSS 26 and Smart-PLS 3.3.3. The findings reveal that blended learning positively impacts student satisfaction and engagement, underscoring its value in higher education. Additionally, the study supports the integration of the TAM to enhance the effectiveness of blended learning for students.

Indexed as

Computer-Assisted InstructionDiagnostic ImagingEducation, DistanceEducation, Medical, UndergraduateStudents, MedicalAdultFemaleHumansLearningMaleModels, EducationalPersonal SatisfactionSurveys and QuestionnairesYoung AdultBlended learningHigher education technologyMedical imagingStudent behavioral intentionTechnology Acceptance Model (TAM)

Identifiers

PMID40399966
PMCPMC12093896

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.